Back

Uttkarsh Singh

Learning • 1d

Breaking News: MIT researchers, in collaboration with IBM and other institutions, have explored techniques such as deductive closure training, where AI models screen their own outputs for inaccuracies and contradictions, acting as both student and teacher. This approach helps models improve consistency and accuracy over time, even without human intervention for every update.

3 replies14 likes

Replies (3)

Greg

👤 • 1d

🔥

0 replies

Anuj Wadhwa

Founder And CEO' of ... • 1d

damn the world is gonna change pretty soon.

0 replies

Anonymous 1

Hey I am on Medial • 1d

Starting with a dream. Your support and a share means the world.❤

https://dhrubaaa19.github.io/helpmegetstarted/

0 replies

Recommendations from Medial

AIGuts

Exploring AI's poten... • 29d

What Are Generative AI Hallucinations and Why Do They Happen? Generative AI hallucinations refer to instances where AI models like ChatGPT or other large language models produce outputs that sound plausible but are factually incorrect or entirely f

0 replies3 likes

Satyam Kumar

"Turning visions int... • 2m

ANT Group Uses Domestic Chips to train AI models and cut COSTS Ant Group is relying on Chinese-made semiconductors to train artificial intelligence models to reduce costs and lessen dependence on restricted US technology, according to people familia

0 replies8 likes

Nawal

Entrepreneur | Build... • 1m

The Most Expensive “Thank You” in Tech History 🔥 Turns out, saying “thank you” to ChatGPT costs millions. Literally. Sam Altman just revealed that OpenAI spends tens of millions of dollars processing tiny, polite phrases like “thank you” and “pl